Data Science in Python (ONLINE LIVE TRAINING)

PrerequisitesUpdated

Thu 16 Apr - Fri 17 Apr 2020

Description

PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team be teaching the course live online, with tutors available to help you work through the course material on a personal copy of the course environment. We will be aiming to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.

Discount offer of 50% off normal fees applies to this course.

This course covers concepts and strategies for working more effectively with Python with the aim of writing reusable code, using function and libraries. Participants will acquire a working knowledge of key concepts which are prerequisites for advanced programming in Python e.g. writing modules and classes.

Note: this course is the continuation of the Introduction to Solving Biological Problems with Python; participants are expected to have attended the introductory Python course and/or have acquired some working knowledge of Python. This course is also open to Python beginners who are already fluent in other programming languages as this will help them to quickly get started in Python.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.

Target audience

Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals

Please be aware that these courses are only free for registered University of Cambridge students. All other participants will be charged a registration fee in some form. Registration fees and further details regarding the charging policy are available here.

Recall how to define variables and most common data structures in Python

Use conditions and loops in Python

Practice reading and writing files with Python

Explain how to write user-defined functions and modules in Python

Use existing in-built as well as third-party Python libraries

Solve more complex exercises using these concepts

Aims

During this course you will learn about:

Using Python libraries to explore data in files

Creating functions and modules to write reusable code

Manipulating data using Pandas

Visualising data with Matplotlib

Working with biological data using BioPython

Format

Presentations, demonstrations and practicals

Timetable

This is subject to change in line with the online training schedule.

Day 1

Topics

9:30 - 9:45

Introduction

9:45 - 11:30

Starting with data and python

11:30 - 11:45

Tea/Coffee Break

11:45 - 12:30

Using existing python modules to explore data in files (part 1)

12:30 - 13:30

Lunch (not provided)

13:30 - 14:30

Using existing python modules to explore data in files (part 2)

14:30 - 14:45

Tea/Coffee Break

14:45 - 16:30

Creating functions and modules to write reusable code

Day 2

9:30 - 9:45

Introduction

9:45 - 11:00

Manipulating data with Pandas

11:00 - 11:15

Tea/Coffee Break

11:15 - 12:30

Visualising data with Matplotlib

12:30 -13:30

Lunch (not provided)

13:30 - 14:45

Working with biological data using BioPython

14:45 - 15:00

Tea/Coffee Break

15:00 - 16:15

Creating a data project report using Jupyter

16:15 - 16:30

Conclusion

Registration Fees

Free for registered University of Cambridge students

For an initial period, we are offering a discount of 50% on the normal fees that are paid below.

£ 50/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level

It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.

£ 50/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration

£ 100/day for all Industry participants. These charges must be paid at registration